Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Homer NA"'
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 7, Pp 1-10 (2019)
Recent attempts to predict refractory epileptic seizures using machine learning algorithms to process electroencephalograms (EEGs) have shown great promise. However, research in this area requires a specialized workstation. Commercial solutions are u
Externí odkaz:
https://doaj.org/article/b258ccb4516e4e9daad3233365181b16
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 17, Iss 1, Pp 54-63 (2019)
Children suffering from asthma are often undiagnosed or misdiagnosed as their symptoms are similar to other respiratory conditions. Spirometry, the "golden" pulmonary function test used for asthma diagnosis, is often unsuitable for young children sin
Externí odkaz:
https://doaj.org/article/aa9fc713faac4473b55bcc9e6fc34db6
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 17, Iss 1, Pp 64-73 (2019)
In this paper, an overview of Amperometric Biosensors with application to chemical measurement systems is presented first. We then focus on signal processing enhancement of emerging Amperometric Biosensors suitable for eHealth applications by design
Externí odkaz:
https://doaj.org/article/cc9ab28084d54eecadf316d92d836989
Autor:
Timothy W. Collins, Stephen B. Aley, Thomas Boland, Guadalupe Corral, Marc B. Cox, Lourdes E. Echegoyen, Sara E. Grineski, Osvaldo F. Morera, Homer Nazeran
Publikováno v:
BMC Proceedings, Vol 11, Iss S12, Pp 117-131 (2017)
Abstract Background and purpose With funding from the National Institutes of Health, BUILDing SCHOLARS was established at The University of Texas at El Paso with the goal of implementing, evaluating and sustaining a suite of institutional, faculty an
Externí odkaz:
https://doaj.org/article/ede20f73867347528fe7e2b73bba5d69
Autor:
Amin Hekmatmanesh, Mohammad Mikaeili, Khosrow Sadeghniiat-Haghighi, Huapeng Wu, Heikki Handroos, Radek Martinek, Homer Nazeran
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 15, Iss 3, Pp 435-447 (2017)
It is well established that sleep spindles (bursts of oscillatory brain electrical activity) are significant indicators of learning, memory and some disease states. Therefore, many attempts have been made to detect these hallmark patterns automatical
Externí odkaz:
https://doaj.org/article/1c4c586ae706457ea7596a8f3a12eb90
Autor:
Jan Nedoma, Marcel Fajkus, Stanislav Kepak, Jakub Cubik, Radana Kahankova, Petr Janku, Vladimir Vasinek, Homer Nazeran, Radek Martinek
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 15, Iss 3, Pp 544-552 (2017)
Here we present the evaluation results of our novel noninvasive phonocardiographic-based fiber-optic sensor for fetal Heart Rate (fHR) detection using adaptive filtering and the NLMS Algorithm. The sensor uses two interferometric probes encapsulated
Externí odkaz:
https://doaj.org/article/36a50d65dc504f05bc7ebadd3c06eea8
Autor:
Jan Nedoma, Marcel Fajkus, Martin Novak, Nela Strbikova, Vladimir Vasinek, Homer Nazeran, Jan Vanus, Frantisek Perecar, Radek Martinek
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 15, Iss 3, Pp 536-543 (2017)
In this article we report on the validation of a novel fiber-optic sensor system suitable for simultaneous cardiac and respiration activity monitoring during Magnetic Resonance Imaging (MRI) examinations. This MRI-compatible Heart Rate (HR) and Respi
Externí odkaz:
https://doaj.org/article/4bb733e3402545f2adc919ce94f99501
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 15, Iss 3, Pp 459-475 (2017)
Highly accurate classification of sleep stages is possible based on EEG signals alone. However, reliable and high quality acquisition of these signals in the home environment is difficult. Instead, electrocardiogram (ECG) and Respiratory (Res) signal
Externí odkaz:
https://doaj.org/article/d63c94cf8432441185c2fb321cc747d3
Autor:
Radek Martinek, Radana Kahankova, Janusz Jezewski, Rene Jaros, Jitka Mohylova, Marcel Fajkus, Jan Nedoma, Petr Janku, Homer Nazeran
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Non-adaptive signal processing methods have been successfully applied to extract fetal electrocardiograms (fECGs) from maternal abdominal electrocardiograms (aECGs); and initial tests to evaluate the efficacy of these methods have been carried out by
Externí odkaz:
https://doaj.org/article/aebe0a0d494e45e2b80bc4a3f1ddd453
Publikováno v:
Sensors, Vol 19, Iss 3, p 470 (2019)
This article presents a solution for continuous monitoring of both respiratory rate (RR) and heart rate (HR) inside Magnetic Resonance Imaging (MRI) environments by a novel ballistocardiography (BCG) fiber-optic sensor. We designed and created a sens
Externí odkaz:
https://doaj.org/article/2a1ea916fc2c46a69a2a34eb02dcd870